Random Volumetric MRI Trajectories via Genetic Algorithms
Joint Authors
Curtis, Andrew Thomas
Anand, Christopher Kumar
Source
International Journal of Biomedical Imaging
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-06-10
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A pseudorandom, velocity-insensitive, volumetric k-space sampling trajectory is designed for use with balanced steady-state magnetic resonance imaging.
Individual arcs are designed independently and do not fit together in the way that multishot spiral, radial or echo-planar trajectories do.
Previously, it was shown that second-order cone optimization problems can be defined for each arc independent of the others, that nulling of zeroth and higher moments can be encoded as constraints, and that individual arcs can be optimized in seconds.
For use in steady-state imaging, sampling duty cycles are predicted to exceed 95 percent.
Using such pseudorandom trajectories, aliasing caused by under-sampling manifests itself as incoherent noise.
In this paper, a genetic algorithm (GA) is formulated and numerically evaluated.
A large set of arcs is designed using previous methods, and the GA choses particular fit subsets of a given size, corresponding to a desired acquisition time.
Numerical simulations of 1 second acquisitions show good detail and acceptable noise for large-volume imaging with 32 coils.
American Psychological Association (APA)
Curtis, Andrew Thomas& Anand, Christopher Kumar. 2008. Random Volumetric MRI Trajectories via Genetic Algorithms. International Journal of Biomedical Imaging،Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-987844
Modern Language Association (MLA)
Curtis, Andrew Thomas& Anand, Christopher Kumar. Random Volumetric MRI Trajectories via Genetic Algorithms. International Journal of Biomedical Imaging No. 2008 (2008), pp.1-6.
https://search.emarefa.net/detail/BIM-987844
American Medical Association (AMA)
Curtis, Andrew Thomas& Anand, Christopher Kumar. Random Volumetric MRI Trajectories via Genetic Algorithms. International Journal of Biomedical Imaging. 2008. Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-987844
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-987844